most citedTraining Algorithm Matters for the Performance of Neural Network Potential: A Case Study of Adam and the Kalman Filter Optimizers

15 citations · 15 across the 1 of their papers we have counts for

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physics.chem-ph2021★ 15 cited

Training Algorithm Matters for the Performance of Neural Network Potential: A Case Study of Adam and the Kalman Filter Optimizers

Yunqi Shao, Florian M. Dietrich, Carl Nettelblad +1

One hidden yet important issue for developing neural network potentials (NNPs) is the choice of training algorithm. Here we compare the performance of two popular training algorith…